How State Changed From Pretest And A Paired Samples T Test Is Calculated On Mood State

974 Words Dec 15th, 2015 4 Pages
To determine if mood state changed from pretest to posttest a paired samples t-test was calculated on mood state. Mood state changed from pretest (M=27.7, SD=5.8), to posttest (M=30.1, SD=4.8), t (43) = -4.8, p = 0.00.
To test the hypothesis that HAI increases mood, a one way ANOVA was calculated. As displayed in table 1, the effects of conditions had no significant difference on mood in people, F (2, 42) = 1.5, p = 0.23.
To test the effect of species, a 2 (species) x 3 (condition) factorial ANOVA was calculated on mood state, stress rating and happiness rating. For mood state there was no main effect for species, F (1, 42) = 0.2, p = 0.7, no main effect for condition, F (1, 42) = 2.1, p = 0.2, and no species by condition interaction, F (1, 42) = 0.5, p = 0.5. Figure 1 illustrates these findings. For stress rating there was no main effect for species, F (1, 42) = 0.1, p = 0.7, no main effect for condition, F (1, 42) = 0.2, p = 0.7, and no species by condition interaction, F (1, 42) = 1.3, p = 0.3. For happiness rating there was no main effect of species, F (1, 42) = 1.0, p = 0.3, no main effect for condition, F (1, 42) = 3.7, p = 0.07, and no species by condition interaction, F (1, 42) = 1.8, p = 0.2.
Pearson correlation coefficients were calculated. There was not a significant correlation between post mood and HAI, r (41) = 0.2, p = 0.1. There was a negative correlation between HAI and stress, indicating that stress levels decreased while HAI increased, r (42) = -0.4, p =…

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